SYSTRAN, a global leader in language translation technology, will showcase its newest translation software, called Pure Neural Machine Translation (PNMT), at Legaltech in New York this month.

As the demand for multi-lingual litigation continues to increase, law firms need a way to translate eDiscovery data quickly, reliably and cost-effectively. PNMT is the perfect solution to this challenge.

“PNMT offers an incredible opportunity for legal firms to perform multi-lingual eDiscovery more efficiently,” says Ken Behan, Vice President of Sales and Marketing of SYSTRAN. “Having the ability to automatically translate terabytes of data and get reliable results is invaluable for law firms, especially when timelines and resources are tight.”

The PNMT engine is revolutionary in that it processes an entire sentence or paragraph in the context of the overall document topic, instead of translating segment by segment. This creates a far more accurate output than ever before seen with machine translation, especially for Asian languages.

In fact, early tests show that PNMT translated documents are of the same or even higher quality than human-translated content. Test subjects could not correctly identify which translated samples were done by machine translation versus a human. The quality is that good.

SYSTRAN’s software provides legal organizations the ability to perform eDiscovery translation on both audio and text in real-time in 45+ language pairs. The PNMT software can be used as a connector to eDiscovery software, such as Relativity, or on its own.

SYSTRAN’s team is setting private meetings for an exclusive view of the PNMT concept and how it can be utilized by legal teams to boost productivity and cut translation costs during eDiscovery. To set up a meeting or schedule a demo during Legaltech, contact Craig Stern at craig.stern@systrangroup.com

When a global enterprise gets sued, it’s vital to know who is involved and how. But finding out who to blame isn’t always simple.

Global law firms are tasked with sifting through thousands, sometimes millions of emails, chats, and legal documentation during eDiscovery. These documents and audio recordings could be in many different languages and stored around the world. Sometimes that data is stored in countries with strong data protection regulations, such as Brazil and parts of the EU, so it cannot under any circumstances leave the country.

So, how can an office in the U.S. review hundreds of days of correspondence in multiple languages?

If the firm hires translators, they’ll need dozens with a strong knowledge of everything from slang to deep subject matter expertise of the topic in discovery. If instead they decide to go with an e-discovery translation solution, they’ll still need help during the review process, especially for data in Asian languages – there are several ways to interpret one word, for which there may be five slang alternatives. In either case, the team must spend a lot of time and money to get reliable and accurate results.

SYSTRAN, a global leader in language translation technology, demonstrated two new integrations for SYSTRAN’s offering of Relativity at Ing3nious’ SoCal E-discovery & Information Governance Retreat, November 13-14.
SYSTRAN demonstrated two new integrations, aDiscovery and Anonymizer, for SYSTRAN’s offering of Relativity at the event. The aDiscovery feature will aid in audio discovery by transcribing audio files, detecting the source language and then translating the content. Anonymizer applies rigorous anonymization techniques to the full text and metadata of electronic documents within Relativity.

Anonymization can be used to mask identifying details in documents such as names, addresses, identification numbers, places, amounts and so forth when reading the anonymized documents; however, anonymized documents retain sufficient information for most relevancy reviews. Users also have the ability to “pseudononymize” selected names replacing pre-identified names with chosen pseudonyms on a mass basis to provide another option for privacy protection.

By 2020, Gartner predicts that 80 percent of litigation will involve multiple languages. The features are meant to assist with multi-language or cross-border e-discovery, giving legal teams a cost-effective method to translate files efficiently.

“These new integrations are going to change the way modern day legal teams handle multi-language files during e-discovery by maximizing productivity through automatic translation and Natural Language Processing (NLP),” says Ken Behan, SYSTRAN Vice President of Sales & Marketing. “These methods are far more efficient than manual translation and will save firms time and money during the e-discovery process.”

In addition to the new integrations, SYSTRAN’s offering for Relativity automatically detects languages of files, translates documents that have multiple languages, and bulk translates using the Mass Action feature in Relativity. Organizations using Relativity are also able to support their billing process by accurately reflecting the workload completed.

In 2014, we joined the Relativity Developer Program to create a connector between Relativity and the SYSTRAN Enterprise Server 8 allowing users to quickly and securely translate multilingual documents. We debuted the SYSTRAN Relativity Connector at Relativity Fest 2014. During the event we got a lot of great feedback from Relativity users about the translation features they needed most during the eDiscovery process.

Well, we took note and after Fest got straight to work! So without further ado here’s what’s new with the SYSTRAN Relativity Connector 2.0:

Added support for the most recent versions of Relativity

The SYSTRAN Relativity Connector 2.0 is compatible with Relativity 9.0, 9.1 and 9.2.

Translate a document containing multiple languages

Based upon your feedback, you now have the ability to translate a document containing multiple languages. This feature was designed for but not limited to e-mails in various languages linked together into a single document. This feature also includes advanced filtering of URLs, dates and e-mail addresses to allow for faster, more accurate detection of languages within the document.

Auto-detect multiple languages and view source languages

In the first release of the SYSTRAN Relativity Connector you had the ability to specify the source language used in the document or select Auto-Detect. This is still true but now with the capability to translate multiple languages within a single document, you have the option to select Auto-Detect Mono-Lingual for documents with a single language or select Auto-Detect Multi-Lingual for documents that contain multiple languages. You can view all the languages detected in the translated documents within your workspace under the Source Languages column.

Even faster!

Multiple translation requests can be done simultaneously – all working at the same time, independently.

Added security permissions

You now have added protection of the translation process with security permissions keyed to the SYSTRAN tabs. To put it simply, you have the option to change user settings to prohibit certain users from performing the translation. They can still see the documents before and after translation.

Export feature for billing

The export feature allows you to load SYSTRAN Queue data into a CSV spreadsheet for billing purposes. You can file by date and time, identify specific documents, or bill upon a workspace basis.

More to come…

Our translation technology is ever evolving and dependent upon your feedback. We look forward to chatting with you at Relativity Fest 2015!

Want to see a demo?

SYSTRAN is partnering with kCura for a webinar. During the webinar JP Barraza, VP of Operations at SYSTRAN, will show you the SYSTRAN Relativity Connector 2.0 in action! To be notified when registration is open, simply contact us.

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As a member of the Relativity ecosystem member, SYSTRAN was exhibiting at the Relativity Spring Launch Roadshow that was held in London on 22 April 2015. Andrew Sieja, president and CEO of kCura Andrew Sieja, Founder & CEO took the stage to present on the new release: Relativity 9.2. Continue reading →